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yolo_darknet

C++调用yolov4，使用yolov4官方接口，yolov4-tiny、yolov3等也可用

yolo_mark

GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

yolo_opencv

通过opencv调用yolov4、yolov3、yolov4-tiny等进行目标检测

yolov4-opencv-cpp-python

Example of using YOLO v4 with OpenCV, C++ and Python

yolov4-qtgui

win10 vs2017 qt_demo yolov4

yolov4mlnet

Use the YOLO v4 and v5 (ONNX) models for object detection in C# using ML.Net

yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

yolov5-1

DeepVAC-compliant Yolo v5 implementation.

yolov5-5.x-annotations

一个基于yolov5-5.0的中文注释版本！

yolov5-libtorch

一个 C++ 版本的 YoloV5 封装库

yolov5-libtorch-1

Real time object detection with deployment of YOLOv5 through LibTorch C++ API

yolov5-ml.net

Inferencing Yolov5 ONNX model using ML.NET and ONNX Runtime

yolov5-net

YOLOv5 object detection with C#, ML.NET, ONNX

yolov5-opencv-dnn-cpp

使用opencv模块部署yolov5-6.0版本

yolov5-pyqt5

给yolov5加个gui界面，使用pyqt5，yolov5是5.0版本

yolov5-v6.1-opencv-onnxrun

分别使用OpenCV、ONNXRuntime部署yolov5-v6.1目标检测，包含C++和Python两个版本的程序。支持yolov5s，yolov5m，yolov5l，yolov5n，yolov5x，yolov5s6，yolov5m6，yolov5l6，yolov5n6，yolov5x6的十种结构的yolov5-v6.1

yolov5_annotations

yolov5-5.0的一个注解

yolov5_obb

yolov5 + csl_label.(Oriented Object Detection)（Rotation Detection）（Rotated BBox）基于yolov5的旋转目标检测

yolov5_pytorch_cpp

A c++ implementation of https://github.com/ultralytics/yolov5 with PyTorch c++ API (LibTorch)

yolov5_torchscript

C++ code for running a yolov5s model.

yolov5v6_pnnx

pnnx yolov5s6.pt to ncnn, can apply any 6.0 version pt.

yolov6

YOLOv6: a single-stage object detection framework dedicated to industrial applications.

yolov7

🔥🔥🔥🔥 YOLO with Transformers and Instance Segmentation, with TensorRT acceleration! 🔥🔥🔥

yolov7-1

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

yolowrapper

采用C#语言对 YOLOv4 目标检测算法封装，将模型在实际应用系统中落地，实现模型在线远程调用。

yolowrapper-wpf

WPF (C#) Yolo Darknet Wrapper

yolox

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

yolox-opencv-dnn

使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序

youbot-coppeliasim

youbot_kdl

KDL 使用案例2